Prediction of Hybrid Asynchronous Frequency Hopping Pattern based on Deep Learning in Wideband Spectrum-Reference-Cited by-同舟云学术

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Prediction of Hybrid Asynchronous Frequency Hopping Pattern based on Deep Learning in Wideband Spectrum

Published:2023-11-17 Issue: Volume: Page:4751-4756
ISSN:
Container-title:2023 China Automation Congress (CAC)
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Author:

Wang Ya¹,Wang Jiaqi²,Yuan Shuai¹,Liu Naijin¹,Lu Yuanming³

Affiliation:

1. Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology,Beijing,China

2. Beijing Electro-Mechanical Engineering Institute,Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory,Beijing,China

3. Unit 63893 of PLA,Luoyang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450150/10449968/10450694.pdf?arnumber=10450694

Reference30 articles.

1. A Learning-Based Signal Parameter Extraction Approach for Multi-Source Frequency-Hopping Signal Sorting

2. Double window spectrogram difference method: A blind estimation of frequency-hopping signal for battlefield communication environment

3. A New Frequency Hopping Signal Detection of Civil UAV Based on Improved K-Means Clustering Algorithm

4. Frequency Hopping Signal Sorting Based on Spectrum Monitoring Data by Adaptive DBSCAN

5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

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